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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bonifazi, G. Di Maio, F. Potenza, F. Serranti, S. |
| Copyright Year | 2014 |
| Description | Author affiliation: Sapienza - Univ. di Roma, Rome, Italy (Bonifazi, G.; Potenza, F.; Serranti, S.) || Tech. Univ. Delft, Delft, Netherlands (Di Maio, F.) |
| Abstract | Post-consumer plastic packaging waste represents one of the main source of recovered polymers. A big problem now arising is thus the need to certify, in a fast (i.e. “on-line”) and reliable way, recovered plastic composition, as well as to assess polymer mixtures bulk characteristics, in order to partially, or totally, re-use them. The study is addressed to utilize a new technique, HyperSpectral Imaging (HSI) based, in order to identify polymers as resulting from a recycling process. This approach was specifically adopted to identify the presence of PolyVinyl Chloride (PVC) in the heavy fraction resulting from an industrial sink-float process. PVC detection is important because heavy fraction recovery is finalized to its further re-utilization as Solid Recovered Fuels (SRF). The presence of this polymer, in fact, for its chlorine content (i.e. dioxin production during combustion) negatively affects the thermal recovery of these products. The study demonstrated as the proposed HSI based approach, in the NIR range (1000-1700 nm), can successfully utilized to set up “real time” analytical/control strategies to perform a continuous monitoring of the composition of the different flow plastic waste streams obtained by from industrial processing, with particular reference to PVC identification. |
| Starting Page | 633 |
| Ending Page | 636 |
| File Size | 973217 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479901623 |
| DOI | 10.1109/ICSENS.2014.6985078 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-02 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Plastics Hyperspectral imaging Positron emission tomography Recycling Principal component analysis Sorting hyperspectral imaging post consumer plastics plastic waste PVC sorting |
| Content Type | Text |
| Resource Type | Article |
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